Rankings of existing best performing classifier (LSVM) and AdaBoost ensemble classifiers, based on Kendall’s W test results using the MDDR dataset by AUC measure.
收藏NIAID Data Ecosystem2026-03-10 收录
下载链接:
https://figshare.com/articles/dataset/Rankings_of_existing_best_performing_classifier_LSVM_and_AdaBoost_ensemble_classifiers_based_on_Kendall_s_W_test_results_using_the_MDDR_dataset_by_AUC_measure_/5784306
下载链接
链接失效反馈官方服务:
资源简介:
Rankings of existing best performing classifier (LSVM) and AdaBoost ensemble classifiers, based on Kendall’s W test results using the MDDR dataset by AUC measure.
基于采用MDDR数据集、以受试者工作特征曲线下面积(Area Under Curve, AUC)为评价指标得到的肯德尔W检验(Kendall’s W)结果,现有最优性能分类器(线性支持向量机,Linear Support Vector Machine, LSVM)及AdaBoost集成分类器的排名情况
创建时间:
2018-01-13



